Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Sensor Fusion of Intensity and Depth Cues using the ChiNet for Semantic Segmentation of Road Scenes. Retrieved May 24, 2026, from https://4ort.xyz/entity/sensor-fusion-of-intensity-and-depth-cues-using-the-chinet-for-semantic-segmentation-of-road-scenes
MLA“Sensor Fusion of Intensity and Depth Cues using the ChiNet for Semantic Segmentation of Road Scenes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sensor-fusion-of-intensity-and-depth-cues-using-the-chinet-for-semantic-segmentation-of-road-scenes.
BibTeX@misc{4ortxyz_sensor-fusion-of-intensity-and-depth-cues-using-the-chinet-for-semantic-segmentation-of-road-scenes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Sensor Fusion of Intensity and Depth Cues using the ChiNet for Semantic Segmentation of Road Scenes}}, year = {2026}, url = {https://4ort.xyz/entity/sensor-fusion-of-intensity-and-depth-cues-using-the-chinet-for-semantic-segmentation-of-road-scenes}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Sensor Fusion of Intensity and Depth Cues using the ChiNet for Semantic Segmentation of Road Scenes — https://4ort.xyz/entity/sensor-fusion-of-intensity-and-depth-cues-using-the-chinet-for-semantic-segmentation-of-road-scenes (retrieved 2026-05-24)
